Machine Learning Compiler Engineer

At Apple, we're pioneering the future of AI through the development of cutting-edge compiler technology for the Apple Neural Engine (ANE). This role offers a unique opportunity to work on transformative AI experiences across iconic Apple products including Vision Pro, iPhone, iPad, and Mac.

As a Machine Learning Compiler Engineer, you'll be at the forefront of optimizing AI performance and efficiency. You'll work on architecting and developing the compiler for Apple's proprietary Neural Engine Accelerator, with a focus on deep learning inference optimization. The role involves close collaboration with hardware and platform architecture teams to support new silicon features and ensure optimal compiler performance.

Key responsibilities include:

• Leading complex compiler feature design and implementation
• Optimizing for performance, scalability, and power efficiency
• Mentoring other engineers and maintaining high code quality standards
• Defining new compiler architecture approaches
• Driving initiatives to improve AI workload scalability

The ideal candidate brings deep expertise in compiler technology, with experience in:

• Program analysis and IR (Intermediate Representation)
• MLIR and LLVM
• Compiler design and architecture
• C++ programming and large system development
• Neural network inference optimization
• Just-in-Time compilation

This position offers competitive compensation ($175,800 - $312,200 base salary) plus equity opportunities through stock programs. Benefits include comprehensive medical/dental coverage, retirement benefits, education reimbursement, and potential bonuses.

Join us in shaping the future of AI at Apple while working in a creative, collaborative environment with some of the industry's brightest minds.